{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## License Information\n",
    "---\n",
    "\n",
    "This file is distributed as part of `hvsrpy`, a Python package for horizontal-to-vertical spectral ratio processing.\n",
    "\n",
    "    Copyright (C) 2019-2021 Joseph P. Vantassel (jvantassel@utexas.edu)\n",
    "\n",
    "    This program is free software: you can redistribute it and/or modify\n",
    "    it under the terms of the GNU General Public License as published by\n",
    "    the Free Software Foundation, either version 3 of the License, or\n",
    "    (at your option) any later version.\n",
    "\n",
    "    This program is distributed in the hope that it will be useful,\n",
    "    but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
    "    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n",
    "    GNU General Public License for more details.\n",
    "\n",
    "    You should have received a copy of the GNU General Public License\n",
    "    along with this program.  If not, see <https: //www.gnu.org/licenses/>.\n",
    "    \n",
    "## About _hvsrpy_ and this notebook\n",
    "---\n",
    "\n",
    "`hvsrpy` is a Python package for performing horizontal-to-vertical spectral ratio\n",
    "(HVSR) processing. `hvsrpy` was developed by Joseph P. Vantassel  with\n",
    "contributions from Dana M. Brannon under the supervision\n",
    "of Professor Brady R. Cox at The University of Texas at Austin.\n",
    "\n",
    "If you use `hvsrpy` in your research or consulting, we ask you please cite the following:\n",
    "\n",
    ">Joseph Vantassel. (2020). jpvantassel/hvsrpy: latest (Concept). Zenodo.\n",
    "[http://doi.org/10.5281/zenodo.3666956](http://doi.org/10.5281/zenodo.3666956)\n",
    "\n",
    "_Note: For software, version specific citations should be preferred to\n",
    "general concept citations, such as that listed above. To generate a version\n",
    "specific citation for `hvsrpy`, please use the citation tool on the `hvsrpy`\n",
    "[archive](http://doi.org/10.5281/zenodo.3666956)._\n",
    "\n",
    "The statistical calculations to consider azimuthal variability included in `hvsrpy` and\n",
    "showcased in this notebook were developed by Tianjian Cheng under the supervision of\n",
    "Professor Brady R. Cox at The University of Texas at Austin and are detailed in\n",
    "Cheng et al (2020). To recognize their original work please cite the follwing:\n",
    "\n",
    "> Cheng, T., Cox, B. R., Vantassel, J. P., and Manuel, L. (2020). \"A statistical approach to account for azimuthal variability in single-station HVSR measurements.\" Geophysical Journal International, 223(2), 1040–1053. https://doi.org/10.1093/gji/ggaa342\n",
    "\n",
    "## Getting Started\n",
    "---\n",
    "1. Install `hvsrpy` and its dependencies, with `pip install hvsrpy`. If you are not familiar with `pip`, a useful tutorial can be found [here](https://jpvantassel.github.io/python3-course/#/intro/pip). __(~3 minutes)__\n",
    "2. Try analyzing the four provided examples. The names of these files have been written and commented out in the section _Time Domain Settings_ for your convenience. __(~15 minutes)__\n",
    "3. Try one of your own _miniseed_ files. Note that the azimuthal calculation performed as part of `hvsrpy` is different from that implemented in Geopsy, so while you should expect the two programs to be consistent you should not expect them to be identical. If you get an error related to the _miniseed_ file this likely means it does not conform to the _SEED_ standard (refer to the [hvsrpy documentation](https://hvsrpy.readthedocs.io/en/stable/) for details). __(~15 minutes)__\n",
    "\n",
    "Happy Processing!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "# from mpl_toolkits.mplot3d.axes3d import get_test_data\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "\n",
    "import hvsrpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Domain Settings\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Input file name (may be a relative or full path).\n",
    "# file_name = \"UT.STN11.A2_C50.miniseed\"\n",
    "file_name = \"UT.STN11.A2_C150.miniseed\"\n",
    "# file_name = \"UT.STN12.A2_C50.miniseed\"\n",
    "# file_name = \"UT.STN12.A2_C150.miniseed\"\n",
    "\n",
    "# Window length in seconds. In general low frequency peaks require longer window lengths.\n",
    "# See the SESAME guidelines for specific window length recommendations.\n",
    "windowlength = 60\n",
    "\n",
    "# Boolean to control whether Butterworth filter is applied. \n",
    "# Geopsy does not apply a bandpass filter.\n",
    "filter_bool = False        \n",
    "# Low-cut frequency for bandpass filter.\n",
    "filter_flow = 0.1                   \n",
    "# High-cut frequency for bandpass filter.\n",
    "filter_fhigh = 30                   \n",
    "# Filter order.\n",
    "filter_order = 5\n",
    "\n",
    "# Width of cosine taper {0. - 1.}. Geopsy default of 0.05 is equal to 0.1 -> 0.1 is recommended\n",
    "width = 0.1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Frequency Domain Settings\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Konno and Ohmachi smoothing constant. 40 is recommended.\n",
    "bandwidth = 40\n",
    "\n",
    "# Minimum frequency after resampling\n",
    "resample_fmin = 0.1   \n",
    "# Maximum frequency after resampling\n",
    "resample_fmax = 50\n",
    "# Number of frequencies after resampling\n",
    "resample_fnum = 200\n",
    "# Type of resampling {'log', 'linear'}\n",
    "resample_type = 'log'\n",
    "\n",
    "# Upper and lower frequency limits to restrict peak selection. To use the entire range use `None`.\n",
    "peak_f_lower = 0.2\n",
    "peak_f_upper = 20"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HVSR Settings\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Rotation of horizontal components\n",
    "# azimuthal_inverval defines the spacing in degrees between considerd azimuths -> 15 is recommended.\n",
    "azimuthal_interval = 15\n",
    "azimuth = np.arange(0, 180, azimuthal_interval)\n",
    "\n",
    "# Boolean to control whether frequency-domain rejection-rejection algorithm is applied.\n",
    "# Geopsy does not offer this functionality.\n",
    "rejection_bool = True\n",
    "# Number of standard deviations to consider during rejection. Smaller values will reject more windows -> 2 is recommended.\n",
    "n = 2\n",
    "# Maximum number of iterations to perform for rejection -> 50 is recommended.\n",
    "max_iterations = 50\n",
    "\n",
    "# Distribution of f0 {\"lognormal\", \"normal\"}. Geopsy default \"normal\" -> \"lognormal\" is recommended.\n",
    "distribution_f0 = \"lognormal\"\n",
    "# Distribution of mean curve {\"lognormal\", \"normal\"}. Geopsy default \"lognormal\" -> \"lognormal\" is recommended.\n",
    "distribution_mc = \"lognormal\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Settings\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Manually set the ylimits of the HVSR figures. Default is None so limits will be set automatically.\n",
    "ymin, ymax = 0, 15"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Perform Calculation\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed Time: 2.01 seconds\n",
      "\n",
      "Statistics after rejection considering azimuth:\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Lognormal Median</th>\n",
       "      <th>Lognormal Standard Deviation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Fundamental Site Frequency, f0,AZ</th>\n",
       "      <td>0.68</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fundamental Site Period, T0,AZ</th>\n",
       "      <td>1.48</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                                   Lognormal Median  \\\n",
       "Fundamental Site Frequency, f0,AZ              0.68   \n",
       "Fundamental Site Period, T0,AZ                 1.48   \n",
       "\n",
       "                                   Lognormal Standard Deviation  \n",
       "Fundamental Site Frequency, f0,AZ                          0.18  \n",
       "Fundamental Site Period, T0,AZ                             0.18  "
      ]
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     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 900x750 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "start = time.time()\n",
    "sensor = hvsrpy.Sensor3c.from_mseed(file_name)\n",
    "bp_filter = {\"flag\":filter_bool, \"flow\":filter_flow, \"fhigh\":filter_fhigh, \"order\":filter_order}\n",
    "resampling = {\"minf\":resample_fmin, \"maxf\":resample_fmax, \"nf\":resample_fnum, \"res_type\":resample_type}\n",
    "hv = sensor.hv(windowlength, bp_filter, width, bandwidth, resampling, \"multiple-azimuths\", f_low=peak_f_lower, f_high=peak_f_upper, azimuth=azimuth)\n",
    "\n",
    "if rejection_bool:\n",
    "    hv.reject_windows(n=n, max_iterations=max_iterations, distribution_f0=distribution_f0, distribution_mc=distribution_mc)\n",
    "\n",
    "azimuths = [*hv.azimuths, 180.]\n",
    "mesh_frq, mesh_azi = np.meshgrid(hv.frq, azimuths)\n",
    "mesh_amp = hv.mean_curves(distribution=distribution_mc)\n",
    "mesh_amp = np.vstack((mesh_amp, mesh_amp[0]))\n",
    "\n",
    "end = time.time()\n",
    "print(f\"Elapsed Time: {str(end-start)[0:4]} seconds\")\n",
    "\n",
    "# Layout\n",
    "fig = plt.figure(figsize=(6,5), dpi=150)\n",
    "gs = fig.add_gridspec(nrows=2, ncols=2, wspace=0.3, hspace=0.1, width_ratios=(1.2,0.8))\n",
    "ax0 = fig.add_subplot(gs[0:2, 0:1], projection='3d')\n",
    "ax1 = fig.add_subplot(gs[0:1, 1:2])\n",
    "ax2 = fig.add_subplot(gs[1:2, 1:2])\n",
    "fig.subplots_adjust(bottom=0.21) \n",
    "\n",
    "# Settings\n",
    "individual_width = 0.3\n",
    "median_width = 1.3\n",
    "\n",
    "## 3D Median Curve\n",
    "ax = ax0\n",
    "ax.plot_surface(np.log10(mesh_frq), mesh_azi, mesh_amp, rstride=1, cstride=1, cmap=cm.plasma, linewidth=0, antialiased=False)\n",
    "for coord in list(\"xyz\"):\n",
    "    getattr(ax, f\"w_{coord}axis\").set_pane_color((1, 1,1))    \n",
    "ax.set_xticks(np.log10(np.array([0.01, 0.1, 1, 10, 100])))\n",
    "ax.set_xticklabels([\"$10^{\"+str(x)+\"}$\" for x in range(-2, 3)])\n",
    "ax.set_xlim(np.log10((0.1, 30)))\n",
    "ax.view_init(elev=30, azim=245)\n",
    "ax.dist=12\n",
    "ax.set_yticks(np.arange(0,180+45, 45))\n",
    "ax.set_ylim(0,180)\n",
    "ax.set_xlabel(\"Frequency (Hz)\")\n",
    "ax.set_ylabel(\"Azimuth (deg)\")\n",
    "ax.set_zlabel(\"HVSR Amplitude\")\n",
    "pfrqs, pamps = hv.mean_curves_peak(distribution=distribution_mc)\n",
    "pfrqs = np.array([*pfrqs, pfrqs[0]])\n",
    "pamps = np.array([*pamps, pamps[0]])\n",
    "ax.scatter(np.log10(pfrqs), azimuths, pamps*1.01, marker=\"s\", c=\"w\", edgecolors=\"k\", s=9)\n",
    "\n",
    "## 2D Median Curve\n",
    "ax = ax1\n",
    "contour = ax.contourf(mesh_frq, mesh_azi, mesh_amp, cmap=cm.plasma, levels=10)\n",
    "ax.set_xscale(\"log\")\n",
    "ax.set_xticklabels([])\n",
    "ax.set_ylabel(\"Azimuth (deg)\")\n",
    "ax.set_yticks(np.arange(0,180+30, 30))\n",
    "ax.set_ylim(0,180)\n",
    "divider = make_axes_locatable(ax)\n",
    "cax = divider.append_axes(\"top\", size=\"5%\", pad=0.05)\n",
    "fig.colorbar(contour, cax=cax, orientation=\"horizontal\")\n",
    "cax.xaxis.set_ticks_position(\"top\")\n",
    "\n",
    "ax.plot(pfrqs, azimuths, marker=\"s\", color=\"w\", linestyle=\"\", markersize=3, markeredgecolor=\"k\",\n",
    "        label=r\"$f_{0,mc,\\alpha}$\")\n",
    "\n",
    "## 2D Median Curve\n",
    "ax = ax2\n",
    "\n",
    "# Accepted Windows\n",
    "label=\"Accepted\"\n",
    "for amps in hv.amp:\n",
    "    for amp in amps:\n",
    "        ax.plot(hv.frq, amp, color=\"#888888\", linewidth=individual_width, zorder=2, label=label)\n",
    "        label=None\n",
    "\n",
    "# Mean Curve\n",
    "label = r\"$LM_{curve,AZ}$\" if distribution_mc==\"lognormal\" else r\"$Mean_{curve,AZ}$\"\n",
    "ax.plot(hv.frq, hv.mean_curve(distribution_mc), color='k', label=label, linewidth=median_width, zorder=4)\n",
    "\n",
    "# Mean +/- Curve\n",
    "label = r\"$LM_{curve,AZ}$\"+\" ± 1 STD\" if distribution_mc==\"lognormal\" else r\"$Mean_{curve,AZ}$\"+\" ± 1 STD\"\n",
    "ax.plot(hv.frq, hv.nstd_curve(-1, distribution=distribution_mc), color=\"k\", linestyle=\"--\",\n",
    "        linewidth=median_width, zorder=4, label=label)\n",
    "ax.plot(hv.frq, hv.nstd_curve(+1, distribution=distribution_mc), color=\"k\", linestyle=\"--\",\n",
    "        linewidth=median_width, zorder=4)\n",
    "\n",
    "# Window Peaks\n",
    "label = r\"$f_{0,i,\\alpha}$\"\n",
    "for frq, amp in zip(hv.peak_frq, hv.peak_amp):\n",
    "    ax.plot(frq, amp, linestyle=\"\", zorder=3, marker='o', markersize=2.5, markerfacecolor=\"#ffffff\",\n",
    "            markeredgewidth=0.5, markeredgecolor='k', label=label)\n",
    "    label=None\n",
    "\n",
    "# Peak Mean Curve\n",
    "ax.plot(hv.mc_peak_frq(distribution_mc), hv.mc_peak_amp(distribution_mc), linestyle=\"\", zorder=5,\n",
    "        marker='D', markersize=4, markerfacecolor='#66ff33', markeredgewidth=1, markeredgecolor='k', \n",
    "        label = r\"$f_{0,mc,AZ}$\")\n",
    "\n",
    "# f0,az\n",
    "if ymin is not None and ymax is not None:\n",
    "        ax.set_ylim((ymin, ymax))\n",
    "label = r\"$LM_{f0,AZ}$\"+\" ± 1 STD\" if distribution_f0==\"lognormal\" else \"Mean \"+r\"$f_{0,AZ}$\"+\" ± 1 STD\"\n",
    "_ymin, _ymax = ax.get_ylim()\n",
    "ax.plot([hv.mean_f0_frq(distribution_f0)]*2, [ymin, ymax], linestyle=\"-.\", color=\"#000000\", zorder=6)\n",
    "ax.fill([hv.nstd_f0_frq(-1, distribution_f0)]*2 + [hv.nstd_f0_frq(+1, distribution_f0)]*2, [_ymin, _ymax, _ymax, _ymin], \n",
    "        color = \"#ff8080\", label=label, zorder=1)\n",
    "ax.set_ylim((_ymin, _ymax))\n",
    "\n",
    "# Limits and labels\n",
    "ax.set_xscale(\"log\")\n",
    "ax.set_xlabel(\"Frequency (Hz)\")\n",
    "ax.set_ylabel(\"HVSR Amplitude\")\n",
    "for spine in [\"top\", \"right\"]:\n",
    "    ax.spines[spine].set_visible(False)\n",
    "    \n",
    "# Lettering\n",
    "xs, ys = [0.45, 0.85, 0.85], [0.81, 0.81, 0.47]  \n",
    "for x, y, letter in zip(xs, ys, list(\"abc\")):\n",
    "    fig.text(x, y, f\"({letter})\", fontsize=12)\n",
    "    \n",
    "# Legend\n",
    "handles, labels = [], []\n",
    "for ax in [ax2, ax1, ax0]:\n",
    "        _handles, _labels = ax.get_legend_handles_labels()\n",
    "        handles += _handles\n",
    "        labels += _labels\n",
    "new_handles, new_labels = [], []\n",
    "for index in [0, 5, 1, 2, 3, 4, 6]:\n",
    "    new_handles.append(handles[index])\n",
    "    new_labels.append(labels[index])\n",
    "fig.legend(new_handles, new_labels, loc=\"lower center\", bbox_to_anchor=(0.47, 0), ncol=4,\n",
    "           columnspacing=0.5, handletextpad=0.4)\n",
    "\n",
    "# Print stats\n",
    "print(\"\\nStatistics after rejection considering azimuth:\")\n",
    "hv.print_stats(distribution_f0)\n",
    "\n",
    "plt.show()    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save Figure to File\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figure saved successfully!\n"
     ]
    }
   ],
   "source": [
    "figure_name_out = \"example_hvsr_figure_az.png\"\n",
    "\n",
    "fig.savefig(figure_name_out, dpi=300, bbox_inches='tight')\n",
    "plt.close()\n",
    "print(\"Figure saved successfully!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save Results to Text File\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results saved successfully!\n"
     ]
    }
   ],
   "source": [
    "file_name_out = \"example_output_hvsrpy_az.hv\"\n",
    "\n",
    "hv.to_file(file_name_out, distribution_f0, distribution_mc)\n",
    "print(\"Results saved successfully!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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